ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.03382
  4. Cited By
Deep learning cardiac motion analysis for human survival prediction

Deep learning cardiac motion analysis for human survival prediction

8 October 2018
Ghalib A. Bello
T. Dawes
Jinming Duan
C. Biffi
A. de Marvao
L. Howard
J. Gibbs
M. Wilkins
S. Cook
Daniel Rueckert
D. O’Regan
    MedIm
    3DH
ArXivPDFHTML

Papers citing "Deep learning cardiac motion analysis for human survival prediction"

19 / 19 papers shown
Title
A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics
A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics
Mengyun Qiao
Kathryn A McGurk
Shuo Wang
Paul M. Matthews
Declan P O Regan
Wenjia Bai
MedIm
AI4CE
142
0
0
20 Sep 2024
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle
Abdul Qayyum
Moona Mazher
Angela Lee
J. Solís-Lemus
Imran Razzak
Steven Niederer
30
3
0
27 May 2024
Recent advancement in Disease Diagnostic using machine learning:
  Systematic survey of decades, comparisons, and challenges
Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges
Farzane Tajidini
Mohammad-Javad Kheiri
OOD
12
4
0
31 Jul 2023
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning
Qingjie Meng
Wenjia Bai
Tianrui Liu
D. O’Regan
Daniel Rueckert
36
7
0
05 Sep 2022
Generative Myocardial Motion Tracking via Latent Space Exploration with
  Biomechanics-informed Prior
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior
C. Qin
Shuo Wang
Cheng Chen
Wenjia Bai
Daniel Rueckert
MedIm
27
19
0
08 Jun 2022
Towards modelling hazard factors in unstructured data spaces using
  gradient-based latent interpolation
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
17
1
0
21 Oct 2021
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed
  Adversarial Gaussian Domain Adaptation
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
N. Savioli
A. de Marvao
Wenjia Bai
Shuo Wang
S. Cook
C. Chin
Daniel Rueckert
D. O’Regan
MedIm
24
2
0
16 Jul 2021
A Deep Variational Approach to Clustering Survival Data
A Deep Variational Approach to Clustering Survival Data
Laura Manduchi
Ricards Marcinkevics
M. Massi
Thomas Weikert
Alexander Sauter
...
F. Vasella
M. Neidert
M. Pfister
Bram Stieltjes
Julia E. Vogt
19
29
0
10 Jun 2021
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for
  Scar Segmentation and Clinical Feature Extraction
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction
Haley G. Abramson
D. Popescu
R. Yu
Changxin Lai
J. Shade
Katherine C. Wu
Mauro Maggioni
Natalia A. Trayanova
22
3
0
21 Oct 2020
A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
55
624
0
02 Aug 2020
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
64
674
0
09 Nov 2019
Model-Based and Data-Driven Strategies in Medical Image Computing
Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert
J. Schnabel
OOD
MedIm
AI4CE
28
50
0
23 Sep 2019
Survey on Deep Neural Networks in Speech and Vision Systems
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
VLM
AI4TS
34
205
0
16 Aug 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical
  Generative Models
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
C. Biffi
Juan J. Cerrolaza
G. Tarroni
Wenjia Bai
A. de Marvao
...
Jinming Duan
S. Prasad
S. Cook
D. O’Regan
Daniel Rueckert
MedIm
23
46
0
28 Jun 2019
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution
  Network
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network
Yuxiang Dai
Peixian Zhuang
MedIm
22
30
0
11 Jun 2019
Similarity Grouping-Guided Neural Network Modeling for Maritime Time
  Series Prediction
Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction
Yan Li
R. W. Liu
Zhao Liu
Jingxian Liu
AI4TS
16
24
0
13 May 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
115
1,231
0
02 Jun 2016
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
177
4,222
0
04 May 2011
1